Overview

Dataset statistics

Number of variables21
Number of observations4178
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory685.6 KiB
Average record size in memory168.0 B

Variable types

DateTime1
Numeric19
Categorical1

Warnings

open is highly correlated with high and 6 other fieldsHigh correlation
high is highly correlated with open and 6 other fieldsHigh correlation
low is highly correlated with open and 6 other fieldsHigh correlation
close is highly correlated with open and 6 other fieldsHigh correlation
BB_MIDDLE is highly correlated with open and 6 other fieldsHigh correlation
BB_UPPER is highly correlated with open and 6 other fieldsHigh correlation
BB_LOWER is highly correlated with open and 6 other fieldsHigh correlation
MACD is highly correlated with MACD_signal and 2 other fieldsHigh correlation
MACD_signal is highly correlated with MACDHigh correlation
RSI is highly correlated with MACD and 5 other fieldsHigh correlation
BBp is highly correlated with RSI and 4 other fieldsHigh correlation
DMIp is highly correlated with RSI and 4 other fieldsHigh correlation
DMIm is highly correlated with MACD and 5 other fieldsHigh correlation
STOCH_K is highly correlated with RSI and 4 other fieldsHigh correlation
STOCH_D is highly correlated with RSI and 4 other fieldsHigh correlation
OBV is highly correlated with open and 6 other fieldsHigh correlation
open is highly correlated with high and 6 other fieldsHigh correlation
high is highly correlated with open and 6 other fieldsHigh correlation
low is highly correlated with open and 6 other fieldsHigh correlation
close is highly correlated with open and 6 other fieldsHigh correlation
volume is highly correlated with BBWIDTHHigh correlation
BB_MIDDLE is highly correlated with open and 6 other fieldsHigh correlation
BB_UPPER is highly correlated with open and 6 other fieldsHigh correlation
BB_LOWER is highly correlated with open and 6 other fieldsHigh correlation
BBWIDTH is highly correlated with volumeHigh correlation
MACD is highly correlated with MACD_signal and 5 other fieldsHigh correlation
MACD_signal is highly correlated with MACD and 3 other fieldsHigh correlation
RSI is highly correlated with MACD and 6 other fieldsHigh correlation
BBp is highly correlated with MACD and 5 other fieldsHigh correlation
DMIp is highly correlated with MACD and 6 other fieldsHigh correlation
DMIm is highly correlated with MACD and 6 other fieldsHigh correlation
STOCH_K is highly correlated with RSI and 4 other fieldsHigh correlation
STOCH_D is highly correlated with MACD and 5 other fieldsHigh correlation
OBV is highly correlated with open and 6 other fieldsHigh correlation
open is highly correlated with high and 6 other fieldsHigh correlation
high is highly correlated with open and 6 other fieldsHigh correlation
low is highly correlated with open and 6 other fieldsHigh correlation
close is highly correlated with open and 6 other fieldsHigh correlation
BB_MIDDLE is highly correlated with open and 6 other fieldsHigh correlation
BB_UPPER is highly correlated with open and 6 other fieldsHigh correlation
BB_LOWER is highly correlated with open and 6 other fieldsHigh correlation
MACD is highly correlated with MACD_signal and 3 other fieldsHigh correlation
MACD_signal is highly correlated with MACDHigh correlation
RSI is highly correlated with MACD and 5 other fieldsHigh correlation
BBp is highly correlated with RSI and 4 other fieldsHigh correlation
DMIp is highly correlated with MACD and 2 other fieldsHigh correlation
DMIm is highly correlated with MACD and 2 other fieldsHigh correlation
STOCH_K is highly correlated with RSI and 2 other fieldsHigh correlation
STOCH_D is highly correlated with RSI and 2 other fieldsHigh correlation
OBV is highly correlated with open and 6 other fieldsHigh correlation
close is highly correlated with MACD and 9 other fieldsHigh correlation
MACD is highly correlated with close and 13 other fieldsHigh correlation
volume is highly correlated with BBWIDTHHigh correlation
OBV is highly correlated with close and 9 other fieldsHigh correlation
high is highly correlated with close and 9 other fieldsHigh correlation
BBWIDTH is highly correlated with close and 11 other fieldsHigh correlation
DMIm is highly correlated with MACD and 8 other fieldsHigh correlation
BB_UPPER is highly correlated with close and 9 other fieldsHigh correlation
BB_MIDDLE is highly correlated with close and 9 other fieldsHigh correlation
BB_LOWER is highly correlated with close and 9 other fieldsHigh correlation
open is highly correlated with close and 9 other fieldsHigh correlation
BBp is highly correlated with DMIm and 4 other fieldsHigh correlation
RSI is highly correlated with MACD and 6 other fieldsHigh correlation
ADX is highly correlated with MACD and 4 other fieldsHigh correlation
DMIp is highly correlated with MACD and 6 other fieldsHigh correlation
STOCH_K is highly correlated with DMIm and 4 other fieldsHigh correlation
low is highly correlated with close and 8 other fieldsHigh correlation
STOCH_D is highly correlated with DMIm and 4 other fieldsHigh correlation
MACD_signal is highly correlated with close and 12 other fieldsHigh correlation
datetime has unique values Unique
volume has unique values Unique
MACD has unique values Unique
MACD_signal has unique values Unique
RSI has unique values Unique
BBp has unique values Unique
ADX has unique values Unique
DMIp has unique values Unique
DMIm has unique values Unique
STOCH_D has unique values Unique
OBV has unique values Unique

Reproduction

Analysis started2021-06-24 22:00:31.373912
Analysis finished2021-06-24 22:01:09.324551
Duration37.95 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

datetime
Date

UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
Minimum2019-07-29 06:00:00
Maximum2021-06-24 22:00:00
2021-06-25T00:01:09.384773image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:09.496019image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

open
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4168
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19409.98443
Minimum4565.63
Maximum64509.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:09.612147image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4565.63
5-th percentile6950.501
Q18836.28
median10340.985
Q329304.72
95-th percentile56906.9905
Maximum64509.48
Range59943.85
Interquartile range (IQR)20468.44

Descriptive statistics

Standard deviation16633.57603
Coefficient of variation (CV)0.8569597823
Kurtosis0.2408269822
Mean19409.98443
Median Absolute Deviation (MAD)2414.18
Skewness1.323110214
Sum81094914.95
Variance276675851.6
MonotonicityNot monotonic
2021-06-25T00:01:09.723727image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10785.232
 
< 0.1%
33505.152
 
< 0.1%
87152
 
< 0.1%
7297.912
 
< 0.1%
6730.012
 
< 0.1%
387002
 
< 0.1%
9152.162
 
< 0.1%
88002
 
< 0.1%
8134.892
 
< 0.1%
10706.562
 
< 0.1%
Other values (4158)4158
99.5%
ValueCountFrequency (%)
4565.631
< 0.1%
4789.991
< 0.1%
4800.011
< 0.1%
4942.51
< 0.1%
5028.861
< 0.1%
5141.481
< 0.1%
5144.531
< 0.1%
5148.731
< 0.1%
5159.091
< 0.1%
5172.481
< 0.1%
ValueCountFrequency (%)
64509.481
< 0.1%
64288.81
< 0.1%
63749.191
< 0.1%
63575.011
< 0.1%
63363.291
< 0.1%
63331.831
< 0.1%
63158.741
< 0.1%
63056.621
< 0.1%
63045.031
< 0.1%
62997.021
< 0.1%

high
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3954
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19656.33599
Minimum4950
Maximum64854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:09.840883image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4950
5-th percentile7084.8775
Q18925.0975
median10420.495
Q329469.75
95-th percentile57501.2705
Maximum64854
Range59904
Interquartile range (IQR)20544.6525

Descriptive statistics

Standard deviation16881.7692
Coefficient of variation (CV)0.8588461863
Kurtosis0.2032252565
Mean19656.33599
Median Absolute Deviation (MAD)2442.08
Skewness1.313843381
Sum82124171.76
Variance284994131.3
MonotonicityNot monotonic
2021-06-25T00:01:09.952045image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97204
 
0.1%
98004
 
0.1%
102504
 
0.1%
73504
 
0.1%
96103
 
0.1%
89503
 
0.1%
90853
 
0.1%
92403
 
0.1%
96503
 
0.1%
88803
 
0.1%
Other values (3944)4144
99.2%
ValueCountFrequency (%)
49501
< 0.1%
50601
< 0.1%
51751
< 0.1%
52001
< 0.1%
52481
< 0.1%
5273.371
< 0.1%
5297.81
< 0.1%
5332.041
< 0.1%
53491
< 0.1%
5365.421
< 0.1%
ValueCountFrequency (%)
648541
< 0.1%
64787.981
< 0.1%
64640.581
< 0.1%
63869.991
< 0.1%
638001
< 0.1%
63777.771
< 0.1%
63764.621
< 0.1%
636661
< 0.1%
63657.861
< 0.1%
63573.021
< 0.1%

low
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3963
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19135.11108
Minimum3782.13
Maximum63605.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:10.069567image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum3782.13
5-th percentile6859.5735
Q18757.4575
median10271.5
Q328839.135
95-th percentile56141.4145
Maximum63605.85
Range59823.72
Interquartile range (IQR)20081.6775

Descriptive statistics

Standard deviation16349.95033
Coefficient of variation (CV)0.8544476307
Kurtosis0.2845672959
Mean19135.11108
Median Absolute Deviation (MAD)2419.42
Skewness1.333577392
Sum79946494.11
Variance267320875.8
MonotonicityNot monotonic
2021-06-25T00:01:10.178310image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71505
 
0.1%
94005
 
0.1%
117005
 
0.1%
100604
 
0.1%
102004
 
0.1%
91254
 
0.1%
91204
 
0.1%
91514
 
0.1%
71004
 
0.1%
90003
 
0.1%
Other values (3953)4136
99.0%
ValueCountFrequency (%)
3782.131
< 0.1%
44101
< 0.1%
4442.121
< 0.1%
45001
< 0.1%
46741
< 0.1%
47781
< 0.1%
48071
< 0.1%
48201
< 0.1%
48281
< 0.1%
49201
< 0.1%
ValueCountFrequency (%)
63605.851
< 0.1%
63063.321
< 0.1%
63012.841
< 0.1%
62963.781
< 0.1%
62842.991
< 0.1%
62706.41
< 0.1%
62684.011
< 0.1%
625301
< 0.1%
625001
< 0.1%
62347.361
< 0.1%

close
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4168
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19416.04925
Minimum4565.59
Maximum64511.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:10.289712image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4565.59
5-th percentile6950.5505
Q18836.7375
median10341.66
Q329327.14
95-th percentile56906.999
Maximum64511.21
Range59945.62
Interquartile range (IQR)20490.4025

Descriptive statistics

Standard deviation16634.62383
Coefficient of variation (CV)0.8567460667
Kurtosis0.238267914
Mean19416.04925
Median Absolute Deviation (MAD)2419.06
Skewness1.322023189
Sum81120253.78
Variance276710709.9
MonotonicityNot monotonic
2021-06-25T00:01:10.400887image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
387002
 
< 0.1%
6730.012
 
< 0.1%
9491.992
 
< 0.1%
7297.912
 
< 0.1%
7313.82
 
< 0.1%
82352
 
< 0.1%
11837.112
 
< 0.1%
9169.572
 
< 0.1%
9507.012
 
< 0.1%
9685.692
 
< 0.1%
Other values (4158)4158
99.5%
ValueCountFrequency (%)
4565.591
< 0.1%
4785.671
< 0.1%
48001
< 0.1%
4939.251
< 0.1%
5028.971
< 0.1%
5140.391
< 0.1%
5148.731
< 0.1%
5151.391
< 0.1%
5167.261
< 0.1%
5172.061
< 0.1%
ValueCountFrequency (%)
64511.211
< 0.1%
64288.81
< 0.1%
63749.191
< 0.1%
635751
< 0.1%
63363.291
< 0.1%
63331.831
< 0.1%
63159.981
< 0.1%
63056.611
< 0.1%
63045.021
< 0.1%
62997.021
< 0.1%

volume
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11559.39726
Minimum5.887034
Maximum121040.6765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:10.515095image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum5.887034
5-th percentile3472.615341
Q16163.514367
median9342.436779
Q314109.34493
95-th percentile26754.52962
Maximum121040.6765
Range121034.7894
Interquartile range (IQR)7945.830559

Descriptive statistics

Standard deviation8774.218216
Coefficient of variation (CV)0.7590549939
Kurtosis20.7146133
Mean11559.39726
Median Absolute Deviation (MAD)3721.411502
Skewness3.307933369
Sum48295161.75
Variance76986905.3
MonotonicityNot monotonic
2021-06-25T00:01:10.636405image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9178.6225221
 
< 0.1%
7354.0354941
 
< 0.1%
6491.8950021
 
< 0.1%
18542.831761
 
< 0.1%
2988.1278091
 
< 0.1%
5034.327931
 
< 0.1%
16338.473911
 
< 0.1%
9491.3723331
 
< 0.1%
12511.675541
 
< 0.1%
7766.196871
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
5.8870341
< 0.1%
1227.368641
< 0.1%
1617.6596781
< 0.1%
1670.3606931
< 0.1%
1801.0040611
< 0.1%
1808.5761581
< 0.1%
1855.5700971
< 0.1%
1868.4408731
< 0.1%
1899.9835371
< 0.1%
1907.0279061
< 0.1%
ValueCountFrequency (%)
121040.67651
< 0.1%
118131.08091
< 0.1%
86060.16241
< 0.1%
76357.69271
< 0.1%
75541.205771
< 0.1%
74717.370411
< 0.1%
72865.868051
< 0.1%
68602.654371
< 0.1%
68283.644421
< 0.1%
65426.252841
< 0.1%

BB_MIDDLE
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4177
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19361.74081
Minimum5202.812
Maximum62890.338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:10.761636image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum5202.812
5-th percentile6974.3188
Q18864.522
median10321.002
Q328632.4655
95-th percentile56833.9658
Maximum62890.338
Range57687.526
Interquartile range (IQR)19767.9435

Descriptive statistics

Standard deviation16605.95044
Coefficient of variation (CV)0.8576682539
Kurtosis0.2351898522
Mean19361.74081
Median Absolute Deviation (MAD)2318.39675
Skewness1.325491439
Sum80893353.12
Variance275757589.9
MonotonicityNot monotonic
2021-06-25T00:01:10.897380image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12000.0542
 
< 0.1%
18990.2161
 
< 0.1%
57386.60851
 
< 0.1%
9159.30351
 
< 0.1%
36951.67351
 
< 0.1%
10767.77751
 
< 0.1%
9918.9921
 
< 0.1%
7155.161
 
< 0.1%
56847.8751
 
< 0.1%
7202.6541
 
< 0.1%
Other values (4167)4167
99.7%
ValueCountFrequency (%)
5202.8121
< 0.1%
5204.96451
< 0.1%
5205.0531
< 0.1%
5206.241
< 0.1%
5206.96551
< 0.1%
5207.6091
< 0.1%
5207.7041
< 0.1%
5207.7671
< 0.1%
5207.8861
< 0.1%
5208.1321
< 0.1%
ValueCountFrequency (%)
62890.3381
< 0.1%
62865.30651
< 0.1%
62847.28751
< 0.1%
62828.8991
< 0.1%
62769.5461
< 0.1%
62729.04751
< 0.1%
62697.811
< 0.1%
62627.1711
< 0.1%
62624.80951
< 0.1%
62481.69551
< 0.1%

BB_UPPER
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4177
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20444.12469
Minimum5642.335666
Maximum66299.1837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:11.131991image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum5642.335666
5-th percentile7298.923216
Q19233.592694
median10710.69838
Q330094.5192
95-th percentile59591.28188
Maximum66299.1837
Range60656.84804
Interquartile range (IQR)20860.9265

Descriptive statistics

Standard deviation17714.65616
Coefficient of variation (CV)0.8664912988
Kurtosis0.1197137085
Mean20444.12469
Median Absolute Deviation (MAD)2381.609014
Skewness1.29741477
Sum85415552.95
Variance313809042.7
MonotonicityNot monotonic
2021-06-25T00:01:11.237417image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12416.723432
 
< 0.1%
50782.923121
 
< 0.1%
52222.275161
 
< 0.1%
9316.6186611
 
< 0.1%
9358.8727421
 
< 0.1%
10798.58061
 
< 0.1%
8396.8522331
 
< 0.1%
7300.3192211
 
< 0.1%
8671.9844181
 
< 0.1%
11725.752821
 
< 0.1%
Other values (4167)4167
99.7%
ValueCountFrequency (%)
5642.3356661
< 0.1%
5648.3873251
< 0.1%
5650.4369531
< 0.1%
5650.7997631
< 0.1%
5651.0305641
< 0.1%
5651.1559521
< 0.1%
5651.5080331
< 0.1%
5652.1532441
< 0.1%
5655.5652271
< 0.1%
5655.7828281
< 0.1%
ValueCountFrequency (%)
66299.18371
< 0.1%
66281.675591
< 0.1%
66239.545151
< 0.1%
66012.541121
< 0.1%
65599.662361
< 0.1%
65560.874741
< 0.1%
65302.96221
< 0.1%
65286.435271
< 0.1%
65280.097481
< 0.1%
65265.287921
< 0.1%

BB_LOWER
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4177
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18279.35694
Minimum3969.848143
Maximum61093.78436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:11.349546image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum3969.848143
5-th percentile6618.760583
Q18558.338775
median9983.950649
Q326640.15444
95-th percentile53666.23345
Maximum61093.78436
Range57123.93622
Interquartile range (IQR)18081.81566

Descriptive statistics

Standard deviation15536.19106
Coefficient of variation (CV)0.8499309419
Kurtosis0.4162400488
Mean18279.35694
Median Absolute Deviation (MAD)2502.159466
Skewness1.368186507
Sum76371153.28
Variance241373232.6
MonotonicityNot monotonic
2021-06-25T00:01:11.459316image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11583.384572
 
< 0.1%
44573.260261
 
< 0.1%
8604.246681
 
< 0.1%
54307.676281
 
< 0.1%
10590.5411
 
< 0.1%
34141.691741
 
< 0.1%
7739.9190211
 
< 0.1%
9115.7615891
 
< 0.1%
6809.6773881
 
< 0.1%
9381.0492661
 
< 0.1%
Other values (4167)4167
99.7%
ValueCountFrequency (%)
3969.8481431
< 0.1%
3973.2413881
< 0.1%
3973.3621321
< 0.1%
4016.612261
< 0.1%
4037.2195021
< 0.1%
4067.1815941
< 0.1%
4141.3360241
< 0.1%
4214.5516491
< 0.1%
4225.1905661
< 0.1%
4343.0340721
< 0.1%
ValueCountFrequency (%)
61093.784361
< 0.1%
60978.531071
< 0.1%
60957.336171
< 0.1%
60874.695641
< 0.1%
60759.915381
< 0.1%
60726.756241
< 0.1%
60682.611241
< 0.1%
60467.845161
< 0.1%
60464.6821
< 0.1%
60223.203511
< 0.1%

BBWIDTH
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct4177
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09647830645
Minimum0.008357727586
Maximum0.7339990359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:11.575643image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.008357727586
5-th percentile0.02581243387
Q10.04782824014
median0.07708680941
Q30.1235513427
95-th percentile0.2289474406
Maximum0.7339990359
Range0.7256413083
Interquartile range (IQR)0.07572310255

Descriptive statistics

Standard deviation0.0729316004
Coefficient of variation (CV)0.7559378174
Kurtosis14.14462971
Mean0.09647830645
Median Absolute Deviation (MAD)0.03407971325
Skewness2.689090366
Sum403.0863643
Variance0.005319018337
MonotonicityNot monotonic
2021-06-25T00:01:11.691867image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.069444592182
 
< 0.1%
0.03134655971
 
< 0.1%
0.048081009851
 
< 0.1%
0.065049716051
 
< 0.1%
0.22611932911
 
< 0.1%
0.16478985371
 
< 0.1%
0.049379151621
 
< 0.1%
0.13744727161
 
< 0.1%
0.040451978061
 
< 0.1%
0.1815269611
 
< 0.1%
Other values (4167)4167
99.7%
ValueCountFrequency (%)
0.0083577275861
< 0.1%
0.0094089305841
< 0.1%
0.0094708704391
< 0.1%
0.0096261171471
< 0.1%
0.0096712431131
< 0.1%
0.0099395234221
< 0.1%
0.010007412791
< 0.1%
0.010298654221
< 0.1%
0.010464381491
< 0.1%
0.01059104321
< 0.1%
ValueCountFrequency (%)
0.73399903591
< 0.1%
0.73349432731
< 0.1%
0.73167514491
< 0.1%
0.72465462511
< 0.1%
0.71736796641
< 0.1%
0.71236628091
< 0.1%
0.69599875451
< 0.1%
0.687574111
< 0.1%
0.65748895881
< 0.1%
0.65424658971
< 0.1%

MACD
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.61456028
Minimum-2776.354455
Maximum2479.968227
Zeros0
Zeros (%)0.0%
Negative1815
Negative (%)43.4%
Memory size32.8 KiB
2021-06-25T00:01:11.809223image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-2776.354455
5-th percentile-872.0667143
Q1-71.02356796
median23.84796207
Q3153.7059163
95-th percentile918.7834127
Maximum2479.968227
Range5256.322682
Interquartile range (IQR)224.7294842

Descriptive statistics

Standard deviation521.6657814
Coefficient of variation (CV)12.84430455
Kurtosis5.497977542
Mean40.61456028
Median Absolute Deviation (MAD)108.1769058
Skewness-0.3342959866
Sum169687.6328
Variance272135.1874
MonotonicityNot monotonic
2021-06-25T00:01:11.934260image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-60.824501221
 
< 0.1%
12.873320141
 
< 0.1%
-313.05929751
 
< 0.1%
627.65621071
 
< 0.1%
266.5655021
 
< 0.1%
-121.25034651
 
< 0.1%
818.59278141
 
< 0.1%
116.00622031
 
< 0.1%
220.29597771
 
< 0.1%
379.34698471
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
-2776.3544551
< 0.1%
-2758.2209611
< 0.1%
-2591.0193241
< 0.1%
-2586.8840931
< 0.1%
-2583.458811
< 0.1%
-2375.9740621
< 0.1%
-2337.8568841
< 0.1%
-2126.6622011
< 0.1%
-2115.7962231
< 0.1%
-2109.939641
< 0.1%
ValueCountFrequency (%)
2479.9682271
< 0.1%
2460.8447751
< 0.1%
2403.165241
< 0.1%
2401.9156341
< 0.1%
2355.7053321
< 0.1%
2299.3575691
< 0.1%
2294.4794221
< 0.1%
2173.4010511
< 0.1%
2170.4812711
< 0.1%
2163.4310151
< 0.1%

MACD_signal
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.03962545
Minimum-2448.656454
Maximum2160.899011
Zeros0
Zeros (%)0.0%
Negative1818
Negative (%)43.5%
Memory size32.8 KiB
2021-06-25T00:01:12.048169image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-2448.656454
5-th percentile-781.1853342
Q1-65.4748647
median24.49167678
Q3148.8568016
95-th percentile888.3584388
Maximum2160.899011
Range4609.555465
Interquartile range (IQR)214.3316663

Descriptive statistics

Standard deviation493.4219859
Coefficient of variation (CV)12.0230626
Kurtosis5.453015924
Mean41.03962545
Median Absolute Deviation (MAD)102.0182082
Skewness-0.3626960936
Sum171463.5551
Variance243465.2562
MonotonicityNot monotonic
2021-06-25T00:01:12.162545image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-38.016646291
 
< 0.1%
140.52891521
 
< 0.1%
15.06827921
 
< 0.1%
-17.537575351
 
< 0.1%
230.11743691
 
< 0.1%
31.357447241
 
< 0.1%
920.81847571
 
< 0.1%
55.638068361
 
< 0.1%
-39.698261041
 
< 0.1%
-241.48497951
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
-2448.6564541
< 0.1%
-2434.1199761
< 0.1%
-2414.9558651
< 0.1%
-2369.2839091
< 0.1%
-2329.1395911
< 0.1%
-2291.9291841
< 0.1%
-2217.3358751
< 0.1%
-2199.0084151
< 0.1%
-2123.9150131
< 0.1%
-2093.9523011
< 0.1%
ValueCountFrequency (%)
2160.8990111
< 0.1%
2137.1571991
< 0.1%
2127.5039081
< 0.1%
2087.3306541
< 0.1%
2070.4535521
< 0.1%
2012.9071591
< 0.1%
1987.5880311
< 0.1%
1983.5670411
< 0.1%
1980.195921
< 0.1%
1969.0443241
< 0.1%

RSI
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.95872208
Minimum7.728338023
Maximum92.5906425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:12.273304image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum7.728338023
5-th percentile30.41933231
Q143.00231177
median52.19604641
Q360.93119889
95-th percentile73.0956247
Maximum92.5906425
Range84.86230448
Interquartile range (IQR)17.92888712

Descriptive statistics

Standard deviation13.0908877
Coefficient of variation (CV)0.2519478382
Kurtosis-0.1521274443
Mean51.95872208
Median Absolute Deviation (MAD)8.987727614
Skewness-0.06989832879
Sum217083.5408
Variance171.3713408
MonotonicityNot monotonic
2021-06-25T00:01:12.378955image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.494960781
 
< 0.1%
43.782204431
 
< 0.1%
44.925418381
 
< 0.1%
50.628517781
 
< 0.1%
48.22742841
 
< 0.1%
16.981071721
 
< 0.1%
42.912209311
 
< 0.1%
64.781708621
 
< 0.1%
61.308235911
 
< 0.1%
44.676011791
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
7.7283380231
< 0.1%
9.3076524511
< 0.1%
9.5004228861
< 0.1%
10.795674331
< 0.1%
13.148532451
< 0.1%
14.031218771
< 0.1%
14.616193931
< 0.1%
14.658311481
< 0.1%
14.689261531
< 0.1%
14.930989331
< 0.1%
ValueCountFrequency (%)
92.59064251
< 0.1%
90.453318621
< 0.1%
89.320135891
< 0.1%
88.844026871
< 0.1%
88.804544311
< 0.1%
87.958013981
< 0.1%
87.713997071
< 0.1%
87.704353781
< 0.1%
86.343973121
< 0.1%
85.855327761
< 0.1%

BBp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5347325265
Minimum-0.5037401995
Maximum1.504403038
Zeros0
Zeros (%)0.0%
Negative227
Negative (%)5.4%
Memory size32.8 KiB
2021-06-25T00:01:12.491314image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-0.5037401995
5-th percentile-0.02085814943
Q10.2882145726
median0.5541324634
Q30.7842260931
95-th percentile1.051949821
Maximum1.504403038
Range2.008143237
Interquartile range (IQR)0.4960115205

Descriptive statistics

Standard deviation0.3329955987
Coefficient of variation (CV)0.6227330155
Kurtosis-0.5535700685
Mean0.5347325265
Median Absolute Deviation (MAD)0.2499492508
Skewness-0.1175589162
Sum2234.112496
Variance0.1108860688
MonotonicityNot monotonic
2021-06-25T00:01:12.624019image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72473684461
 
< 0.1%
0.22348603261
 
< 0.1%
0.70704227741
 
< 0.1%
0.95727224891
 
< 0.1%
0.70600042531
 
< 0.1%
0.25721339951
 
< 0.1%
0.83723266521
 
< 0.1%
0.34277974081
 
< 0.1%
0.51973045151
 
< 0.1%
0.99571359631
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
-0.50374019951
< 0.1%
-0.48147613421
< 0.1%
-0.42407548871
< 0.1%
-0.41131363881
< 0.1%
-0.38624896421
< 0.1%
-0.38425672721
< 0.1%
-0.37250853811
< 0.1%
-0.36567687641
< 0.1%
-0.35008349911
< 0.1%
-0.34157316281
< 0.1%
ValueCountFrequency (%)
1.5044030381
< 0.1%
1.4792204851
< 0.1%
1.4624158511
< 0.1%
1.4458387281
< 0.1%
1.4272226251
< 0.1%
1.3987587431
< 0.1%
1.3961420211
< 0.1%
1.3935020051
< 0.1%
1.3520885911
< 0.1%
1.3496154491
< 0.1%

ADX
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.39354719
Minimum9.790051973
Maximum72.49836312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:12.905931image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum9.790051973
5-th percentile15.39676113
Q120.49731935
median26.91302212
Q335.75485261
95-th percentile53.263024
Maximum72.49836312
Range62.70831115
Interquartile range (IQR)15.25753326

Descriptive statistics

Standard deviation11.67314808
Coefficient of variation (CV)0.397133017
Kurtosis0.8104043289
Mean29.39354719
Median Absolute Deviation (MAD)7.173668716
Skewness1.047959211
Sum122806.2402
Variance136.262386
MonotonicityNot monotonic
2021-06-25T00:01:13.022202image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.00681591
 
< 0.1%
20.653374751
 
< 0.1%
26.768828271
 
< 0.1%
38.550327021
 
< 0.1%
19.611414741
 
< 0.1%
29.199618671
 
< 0.1%
31.360235811
 
< 0.1%
19.643304271
 
< 0.1%
9.7900519731
 
< 0.1%
23.978633131
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
9.7900519731
< 0.1%
9.8251059621
< 0.1%
9.9897997021
< 0.1%
10.065171141
< 0.1%
10.10834331
< 0.1%
10.117734491
< 0.1%
10.323702881
< 0.1%
10.558987711
< 0.1%
10.632869341
< 0.1%
10.653191271
< 0.1%
ValueCountFrequency (%)
72.498363121
< 0.1%
71.770546751
< 0.1%
71.728147331
< 0.1%
71.063080881
< 0.1%
70.986744511
< 0.1%
70.531206811
< 0.1%
70.175866611
< 0.1%
70.037323751
< 0.1%
69.850108861
< 0.1%
69.465009671
< 0.1%

DMIp
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.26083814
Minimum4.421029983
Maximum86.01234091
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:13.143756image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4.421029983
5-th percentile9.589532258
Q114.25796105
median19.36734725
Q326.01989995
95-th percentile39.26826342
Maximum86.01234091
Range81.59131093
Interquartile range (IQR)11.7619389

Descriptive statistics

Standard deviation9.744484995
Coefficient of variation (CV)0.4583302375
Kurtosis3.679494924
Mean21.26083814
Median Absolute Deviation (MAD)5.67536507
Skewness1.459403243
Sum88827.78175
Variance94.95498782
MonotonicityNot monotonic
2021-06-25T00:01:13.265129image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.991415771
 
< 0.1%
18.830818431
 
< 0.1%
17.91270611
 
< 0.1%
21.424867511
 
< 0.1%
7.0238885611
 
< 0.1%
39.266062751
 
< 0.1%
45.942213091
 
< 0.1%
34.860678491
 
< 0.1%
16.073414481
 
< 0.1%
20.548791831
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
4.4210299831
< 0.1%
4.7611092131
< 0.1%
5.1273483831
< 0.1%
5.1983299311
< 0.1%
5.2215418641
< 0.1%
5.3162746161
< 0.1%
5.5217597971
< 0.1%
5.5982014651
< 0.1%
5.6233147191
< 0.1%
5.6514416561
< 0.1%
ValueCountFrequency (%)
86.012340911
< 0.1%
79.868602281
< 0.1%
76.704637881
< 0.1%
76.198407821
< 0.1%
74.163702111
< 0.1%
73.95026481
< 0.1%
73.529854891
< 0.1%
73.210809051
< 0.1%
70.75566441
< 0.1%
68.866294821
< 0.1%

DMIm
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.25894031
Minimum2.547669429
Maximum85.87260903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:13.392064image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum2.547669429
5-th percentile9.633026913
Q114.51520874
median19.4208116
Q326.07351865
95-th percentile39.16956365
Maximum85.87260903
Range83.3249396
Interquartile range (IQR)11.55830991

Descriptive statistics

Standard deviation9.610145495
Coefficient of variation (CV)0.4520519535
Kurtosis3.843873824
Mean21.25894031
Median Absolute Deviation (MAD)5.596852325
Skewness1.414726605
Sum88819.85261
Variance92.35489644
MonotonicityNot monotonic
2021-06-25T00:01:13.520166image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.105875251
 
< 0.1%
15.970735711
 
< 0.1%
44.289467011
 
< 0.1%
28.029103771
 
< 0.1%
18.881348421
 
< 0.1%
22.118586281
 
< 0.1%
17.257739811
 
< 0.1%
21.096383431
 
< 0.1%
31.524356791
 
< 0.1%
26.681187991
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
2.5476694291
< 0.1%
2.7436440011
< 0.1%
2.9546935391
< 0.1%
3.1819776581
< 0.1%
3.426745171
< 0.1%
3.5014965641
< 0.1%
3.6241025571
< 0.1%
3.7708424531
< 0.1%
3.9028796771
< 0.1%
4.0609072571
< 0.1%
ValueCountFrequency (%)
85.872609031
< 0.1%
84.084705721
< 0.1%
83.123597551
< 0.1%
79.738851241
< 0.1%
77.186197731
< 0.1%
75.795054371
< 0.1%
74.043219011
< 0.1%
71.672897891
< 0.1%
70.524806341
< 0.1%
70.381121911
< 0.1%

STOCH_K
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct4176
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.11458895
Minimum0.4652045951
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:13.646802image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum0.4652045951
5-th percentile12.48557573
Q133.10884235
median56.05283896
Q378.76464799
95-th percentile93.70157811
Maximum100
Range99.5347954
Interquartile range (IQR)45.65580564

Descriptive statistics

Standard deviation26.4136709
Coefficient of variation (CV)0.4792500753
Kurtosis-1.175380707
Mean55.11458895
Median Absolute Deviation (MAD)22.82213848
Skewness-0.1291340687
Sum230268.7526
Variance697.6820107
MonotonicityNot monotonic
2021-06-25T00:01:13.785248image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003
 
0.1%
82.218148491
 
< 0.1%
88.890879771
 
< 0.1%
10.749398451
 
< 0.1%
5.1641830071
 
< 0.1%
20.670886081
 
< 0.1%
34.728554641
 
< 0.1%
13.849333331
 
< 0.1%
47.26637991
 
< 0.1%
84.673294061
 
< 0.1%
Other values (4166)4166
99.7%
ValueCountFrequency (%)
0.46520459511
< 0.1%
0.66006884681
< 0.1%
1.3991890241
< 0.1%
1.6903354261
< 0.1%
1.734667361
< 0.1%
1.7475703651
< 0.1%
1.782971781
< 0.1%
1.8809212581
< 0.1%
1.9238303811
< 0.1%
2.084989841
< 0.1%
ValueCountFrequency (%)
1003
0.1%
99.989813331
 
< 0.1%
99.958977281
 
< 0.1%
99.813178231
 
< 0.1%
99.752138761
 
< 0.1%
99.731239091
 
< 0.1%
99.596826851
 
< 0.1%
99.478853061
 
< 0.1%
99.315742411
 
< 0.1%
99.27577281
 
< 0.1%

STOCH_D
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.10255735
Minimum4.567169694
Maximum97.45793485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2021-06-25T00:01:13.922966image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum4.567169694
5-th percentile16.1217925
Q134.14291474
median55.79483596
Q377.48679626
95-th percentile90.60751078
Maximum97.45793485
Range92.89076515
Interquartile range (IQR)43.34388152

Descriptive statistics

Standard deviation24.5525428
Coefficient of variation (CV)0.4455790072
Kurtosis-1.244122337
Mean55.10255735
Median Absolute Deviation (MAD)21.66749472
Skewness-0.1142597159
Sum230218.4846
Variance602.8273578
MonotonicityNot monotonic
2021-06-25T00:01:14.050122image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.180043841
 
< 0.1%
46.80927031
 
< 0.1%
51.263570951
 
< 0.1%
60.666654651
 
< 0.1%
30.955915641
 
< 0.1%
27.388711311
 
< 0.1%
86.778364311
 
< 0.1%
74.552075231
 
< 0.1%
42.150865161
 
< 0.1%
89.835654121
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
4.5671696941
< 0.1%
6.1208371421
< 0.1%
6.182516761
< 0.1%
6.4092493461
< 0.1%
6.5926593131
< 0.1%
6.614229931
< 0.1%
6.8132274581
< 0.1%
6.9975354941
< 0.1%
7.0168502851
< 0.1%
7.0709745441
< 0.1%
ValueCountFrequency (%)
97.457934851
< 0.1%
97.363443121
< 0.1%
97.309429911
< 0.1%
96.753634131
< 0.1%
96.721685961
< 0.1%
96.54875121
< 0.1%
96.335357821
< 0.1%
96.263372851
< 0.1%
96.228818181
< 0.1%
96.029349911
< 0.1%

OBV
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct4178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean786031.1963
Minimum-288091.3524
Maximum2289968.413
Zeros0
Zeros (%)0.0%
Negative1041
Negative (%)24.9%
Memory size32.8 KiB
2021-06-25T00:01:14.178491image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Quantile statistics

Minimum-288091.3524
5-th percentile-195076.8603
Q1897.0066063
median629729.6975
Q31593495.052
95-th percentile2189273.86
Maximum2289968.413
Range2578059.766
Interquartile range (IQR)1592598.045

Descriptive statistics

Standard deviation811081.7356
Coefficient of variation (CV)1.03186965
Kurtosis-1.170003298
Mean786031.1963
Median Absolute Deviation (MAD)649582.1683
Skewness0.4621882885
Sum3284038338
Variance6.578535818 × 1011
MonotonicityNot monotonic
2021-06-25T00:01:14.345294image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2064965.2311
 
< 0.1%
1928308.5011
 
< 0.1%
2062973.2041
 
< 0.1%
1359160.5171
 
< 0.1%
2165159.531
 
< 0.1%
-63357.811321
 
< 0.1%
761983.84951
 
< 0.1%
-25487.793121
 
< 0.1%
27833.235921
 
< 0.1%
-51827.516411
 
< 0.1%
Other values (4168)4168
99.8%
ValueCountFrequency (%)
-288091.35241
< 0.1%
-286194.58721
< 0.1%
-283101.58671
< 0.1%
-276416.57081
< 0.1%
-276027.9651
< 0.1%
-273985.24961
< 0.1%
-269384.04121
< 0.1%
-264430.98651
< 0.1%
-261239.84791
< 0.1%
-260276.50721
< 0.1%
ValueCountFrequency (%)
2289968.4131
< 0.1%
2286773.9971
< 0.1%
2286523.3491
< 0.1%
2283909.9771
< 0.1%
2282048.6581
< 0.1%
2278206.9021
< 0.1%
2277222.7491
< 0.1%
2275815.8261
< 0.1%
2274706.9361
< 0.1%
2274599.7411
< 0.1%

buy_sell
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.8 KiB
0.0
3917 
-1.0
 
131
1.0
 
130

Length

Max length4
Median length3
Mean length3.031354715
Min length3

Characters and Unicode

Total characters12665
Distinct characters4
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.03917
93.8%
-1.0131
 
3.1%
1.0130
 
3.1%

Length

2021-06-25T00:01:14.651766image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-06-25T00:01:14.845015image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
ValueCountFrequency (%)
0.03917
93.8%
1.0261
 
6.2%

Most occurring characters

ValueCountFrequency (%)
08095
63.9%
.4178
33.0%
1261
 
2.1%
-131
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number8356
66.0%
Other Punctuation4178
33.0%
Dash Punctuation131
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
08095
96.9%
1261
 
3.1%
Other Punctuation
ValueCountFrequency (%)
.4178
100.0%
Dash Punctuation
ValueCountFrequency (%)
-131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common12665
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
08095
63.9%
.4178
33.0%
1261
 
2.1%
-131
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII12665
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
08095
63.9%
.4178
33.0%
1261
 
2.1%
-131
 
1.0%

Interactions

2021-06-25T00:00:32.987927image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.084890image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.174125image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.262652image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.354712image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.446241image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.536496image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.627695image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.719039image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.903372image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:33.990452image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.078526image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.162715image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.254620image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.345716image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.439168image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.524233image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.609352image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.695346image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.782350image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.872838image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:34.963042image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.050509image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.141657image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.234291image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.328095image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.419255image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.512804image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.612196image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.700166image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.790570image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:35.893990image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.010961image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.238560image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.340791image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.447132image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.538657image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.628960image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.717485image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.805553image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.893916image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:36.979890image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.066797image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.159807image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.246765image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.338794image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.427536image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.518914image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.607166image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.695055image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.781080image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.876159image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:37.964849image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.059713image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.146143image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.232139image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.318223image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.497046image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.584327image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.670532image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.757849image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.846105image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:38.936390image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.023423image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.112023image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.200674image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.293797image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.382340image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.469584image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.558627image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.653082image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.742057image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.834554image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:39.922610image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.015754image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.137586image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.243070image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.348446image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.469958image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.573496image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.672403image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.867687image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:40.957759image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.047780image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.138232image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.232074image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.322752image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.412555image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.497121image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.595258image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.691167image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.790459image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.877879image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:41.976185image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.077446image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.166936image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.266635image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.367081image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.461095image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.551727image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.641417image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.739354image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.845660image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:42.944673image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.045492image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.260133image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.359874image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.458971image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.597465image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.695758image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.800776image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.899098image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:43.996235image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.088518image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.177094image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.265182image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.357620image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.448220image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.538307image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.631131image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.720159image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.816197image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:44.923336image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:45.031356image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:45.135489image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:45.230533image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:45.317675image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:45.418800image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:45.540102image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:45.975982image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.110656image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.206935image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.305765image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.430639image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.531642image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.666521image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.789275image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:46.898762image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.006425image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.108988image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.208366image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.315209image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.420988image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.520256image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.619896image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.712740image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.812439image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.902776image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:47.998664image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.089182image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.177640image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.263352image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.353783image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.550213image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.654239image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.748662image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.849007image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:48.948690image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.045646image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.148895image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.247423image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.346573image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.441214image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.533275image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.623909image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.727406image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.833833image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:49.934161image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.029440image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.125101image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.221313image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.328462image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.420250image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.509688image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.595356image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.683391image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.872081image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:50.962126image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.054098image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.147864image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.238606image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.324544image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.420245image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.504586image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.602957image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.691960image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.787318image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.872861image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:51.960009image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.049010image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.134545image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.223219image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.308978image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.401136image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.490575image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.584904image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.670618image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.758615image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.846635image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:52.935699image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.117186image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.198415image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.280298image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.373834image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.462863image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.556157image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.643937image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.735121image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.823481image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.910896image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:53.994647image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.083962image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.165577image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.251320image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.336910image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.419429image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.501245image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.584838image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.673023image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.754765image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.836967image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:54.926452image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.026649image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.128799image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.226658image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.451802image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.547912image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.638492image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.747574image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.855250image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:55.960826image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.062235image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.166048image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.269384image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.372992image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.474989image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.577796image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.681201image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.782041image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.880929image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:56.978076image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.083576image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.183925image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.286276image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.386002image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.481935image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.578389image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.685081image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.896378image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:57.992522image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.090337image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.183660image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.280585image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.378159image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.474463image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.577631image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.676373image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.768537image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.857898image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:58.944690image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.038967image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.140399image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.246679image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.336982image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.426830image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.553952image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.672770image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.843005image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:00:59.976137image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.087105image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.199368image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.407359image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.502860image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.598140image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.694172image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.794657image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.892169image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:00.985040image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.076627image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.183826image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.279269image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.383707image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.476095image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.572323image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.666355image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.760053image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.848910image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:01.933115image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.019559image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.127693image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.237835image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.331491image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.417311image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.500514image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.688236image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.772223image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.853504image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:02.931482image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.020520image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.106882image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.196723image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.277265image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.360666image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.442836image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.523414image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.618711image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.708112image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.795399image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.880827image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:03.968821image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.057624image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.145804image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.234555image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.329026image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.415182image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.499460image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.580744image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.674851image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.855166image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:04.946014image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.029177image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.117177image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.204903image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.288483image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.377404image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.465003image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.552998image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.639343image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.730395image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.819326image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.905109image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:05.991539image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.082787image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.172520image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.258009image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.339599image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.432373image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.518580image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.609076image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.695246image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.782838image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:06.871959image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.052319image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.137457image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.224543image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.309923image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.396487image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.484072image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.573955image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.663612image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.755650image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.845995image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:07.930194image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.017896image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.103247image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.197575image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.282307image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.372083image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.454539image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.539504image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
2021-06-25T00:01:08.623182image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Correlations

2021-06-25T00:01:14.926049image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-06-25T00:01:15.109038image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-06-25T00:01:15.293633image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-06-25T00:01:15.491825image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-06-25T00:01:08.813039image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
A simple visualization of nullity by column.
2021-06-25T00:01:09.121038image/svg+xmlMatplotlib v3.4.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

datetimeopenhighlowclosevolumeBB_MIDDLEBB_UPPERBB_LOWERBBWIDTHMACDMACD_signalRSIBBpADXDMIpDMImSTOCH_KSTOCH_DOBVbuy_sell
02019-07-29 06:00:009636.629684.709570.009625.952964.9517339655.136010051.7049989258.5670020.082147-26.798091-34.26056949.3476380.46320240.48104118.57374528.71427545.02960042.688328-3730.3624180.0
12019-07-29 10:00:009624.799650.009395.009484.965156.2001269644.534010047.6736099241.3943910.083600-31.124755-33.62756740.4213500.30208640.69350515.60745738.03693233.55461241.611966-8886.5625440.0
22019-07-29 14:00:009484.519635.969470.219539.644963.2835959633.298010034.8992339231.6967670.083378-30.435910-32.98449144.6062950.38339440.85755713.31707732.45504740.58938239.724531-3923.2789490.0
32019-07-29 18:00:009538.249693.989411.319487.636286.0649609618.097510017.4714149218.7235860.083046-33.074310-33.00256241.6122180.33666041.79376211.49969432.49108457.20390143.782632-10209.3439090.0
42019-07-29 22:00:009489.819549.009450.009507.642928.0024609603.77909997.0856309210.4723700.081907-33.357488-33.07388443.1920850.37778142.55283210.02617028.32780860.75177352.848352-7281.3414490.0
52019-07-30 02:00:009509.079539.009402.009441.294672.8588979583.89359967.2150219200.5719790.079993-37.797168-34.02212339.3864750.31399043.7467658.81040128.20725548.98758955.647754-11954.2003461.0
62019-07-30 06:00:009441.049530.009427.009501.294053.5326379567.75809935.3699859200.1460150.076844-36.597290-34.53871844.1764430.40959544.7461247.79276524.94920659.62588756.455083-7900.6677090.0
72019-07-30 10:00:009501.299564.869450.009522.905037.4755349538.75309806.5355739270.9704270.056146-33.703008-34.37117045.8366300.47039944.3562659.23532022.18912663.45744757.356974-2863.1921750.0
82019-07-30 14:00:009524.819714.289514.009682.358374.9535769520.10409655.7686429384.4393580.028501-19.652008-31.42163356.1897201.09796740.32884617.39834919.82698391.72872371.6040195511.7614010.0
92019-07-30 18:00:009684.589714.009502.219598.526489.7075899523.73959663.8713379383.6076630.029428-14.503434-28.03274950.7024890.76682237.04371415.60888718.46741176.86524877.350473-977.9461880.0

Last rows

datetimeopenhighlowclosevolumeBB_MIDDLEBB_UPPERBB_LOWERBBWIDTHMACDMACD_signalRSIBBpADXDMIpDMImSTOCH_KSTOCH_DOBVbuy_sell
41682021-06-23 10:00:0033982.2634500.0033650.2133911.3918341.76516933374.259536023.78222630724.7367740.158776-754.343978-1056.63634649.0996560.60136442.60489617.19122031.79913786.24464277.0600821.668691e+060.0
41692021-06-23 14:00:0033911.4034881.0033400.3033490.1428265.87314533266.881035694.98305230838.7789480.145977-678.296518-980.96838046.5649640.54597441.34457417.73163629.52777077.10895379.3000581.640425e+060.0
41702021-06-23 18:00:0033490.1433947.1732870.9932879.9716689.64372833217.234535633.74018030800.7288200.145497-659.659830-916.70667043.0946730.43021640.46866716.46509129.96899067.06665676.8067501.623735e+060.0
41712021-06-23 22:00:0032882.5033785.2632749.0133678.0712525.74853133180.002535540.60444530819.4005550.142291-573.874848-848.14030648.5009350.60549639.72429015.28901328.42347780.20194274.7925171.636261e+060.0
41722021-06-24 02:00:0033675.0733879.9932339.8232589.2014734.38687833034.321535136.86155330931.7814470.127294-586.985932-795.90943142.5600670.39414739.26122114.19694128.33518062.28110669.8499011.621527e+060.0
41732021-06-24 06:00:0032589.2033280.5532286.5732853.7413051.05590832897.000534618.08620631175.9147940.104635-569.465945-750.62073444.3437340.48743238.86236113.18287326.57078966.63495769.7060021.634578e+060.0
41742021-06-24 10:00:0032853.7433930.2332820.6133850.7713506.33742932857.057534438.27643531275.8385650.096248-469.714662-694.43952050.5733680.81422437.70280215.56715024.67287583.04427370.6534451.648084e+060.0
41752021-06-24 14:00:0033850.7834583.5833756.0433886.5218730.79426732900.108534546.19193231254.0250680.100066-383.357222-632.22306050.7860790.79962435.91302017.76656022.91052783.63265377.7706281.666815e+060.0
41762021-06-24 18:00:0033888.8135298.0033751.0034857.7318670.72420233016.967034868.60424731165.3297530.112163-233.854075-552.54926356.2895300.99706433.54724420.11831921.27406193.21931386.6320801.685486e+06-1.0
41772021-06-24 22:00:0034854.6334999.0934652.0134744.613254.97238833119.798035117.20171131122.3942890.120617-123.080793-466.65556955.5108910.90673131.35045318.68129719.75448584.95405187.2686721.682231e+060.0